The objective of this research is to investigate the impact of Artificial Intelligence (AI) on improving the quality of financial reporting in the Islamic banking industry. The study is conducted within the theoretical framework of the Unified Theory of Acceptance and Use of Technology (UTAUT). The study utilized Partial Least Squares Structural Equation Modelling (PLS-SEM) to examine the data collected from a sample of 364 professionals working in the field of Islamic banking. The results of our study suggest that Performance Expectancy, Effort Expectancy, and Social Influence are important factors in predicting individuals' Behavioural Intention to use Artificial Intelligence (AI). Additionally, the presence of Facilitating Conditions further enhances the impact of these factors on individuals' actual Use Behaviour. Significantly, it was shown that Use Behaviour played a significant role in determining the perceived quality of financial reporting. Nevertheless, the study did not find empirical evidence to demonstrate the direct influence of Behavioural Intention on Financial Reporting Quality. This implies that the actual implementation of Artificial Intelligence is required to fully realize its advantages. The use of artificial intelligence (AI) into governance frameworks presents a potentially advantageous pathway for Islamic banks to uphold Shariah principles, while concurrently bolstering accountability and fostering ethical banking practices.

The utilization of blockchain technology is increasingly emerging as a catalyst for significant changes across multiple industries, including the domain of Islamic finance. This study examines the influence of blockchain technology on the factors that contribute to the successful adoption of blockchain in Islamic banks located in the United Arab Emirates (UAE). The present study employs a cross-sectional survey methodology, encompassing a sample of 344 banking professionals. The investigation utilizes Partial Least Squares Structural Equation Modeling (PLS-SEM) as a statistical technique to examine the association between several crucial variables, namely Trust, Financial Transfers, Operating Expenses, Safety and Security, and the effective implementation of blockchain technology. The results indicate that these variables have a major impact on the effectiveness of implementing blockchain technology, confirming its ability to boost the efficiency of transactions, decrease expenses, and enhance security while adhering to Shariah law. This work makes a vital contribution to the scholarly discourse around the deployment of technology in the context of Islamic banking. In particular, it emphasizes blockchain technology's part in fostering innovation within the sector and fostering a culture of compliance with the sector's ethical and operational standards.

The present study aims to examine the implementation of Blockchain Technology within the financial sector, with a specific emphasis on its acceptance by Islamic banks operating in the United Arab Emirates (UAE). In the context of a technologically advanced period that necessitates expeditious and safe transactions, blockchain emerges as a viable remedy by obviating the need for intermediary entities and augmenting the velocity and security of transactions. This study uses Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the important success aspects of technology and its influence on the performance of Islamic banks. The findings of this study are of particular importance, as they demonstrate the considerable impact of Investment Willingness on Financial Resources. Additionally, the study highlights the crucial role played by Organizational Culture and Leadership Support in fostering readiness for adoption. This study serves as an initial step towards the wider use of blockchain technology in the financial industry, with a particular focus on its application within Islamic banking institutions.